DeepSeek V4.1 Flash vs Kimi K3.1 Pro

Practical read: DeepSeek V4.1 Flash costs under a tenth as much. One API key runs both.

No card required. Start with 1 million free tokens.

Side by side:

DeepSeek: DeepSeek V4.1 Flash compared with MoonshotAI: Kimi K3.1 Pro
Attribute	DeepSeek V4.1 Flash `deepseek/deepseek-v4.1-flash`	Kimi K3.1 Pro `moonshotai/kimi-k3.1-pro`
Price, 1M in + out	$0.16 Engy, cheapest route	$8.86 Engy, cheapest route
Best for	Low cost
Input / output, 1M	$0.032 / $0.13	$1.48 / $7.38
Cached input	$0.01/1M to $0.165108/1M	$0.1477/1M to $0.422/1M
Context window	1.05M 1,048,576 tokens	1.05M 1,048,576 tokens
AI IQ	IQ 126 #24 on AI IQ	IQ 132 #14 on AI IQ
Provider routes	21 with failover	15 with failover
Privacy	Confidential E2EE and zero retention route	Confidential E2EE and zero retention route
Publisher	DeepSeek	Kimi
Modes	chat decide	chat
More detail	Overview Pricing Providers	Overview Pricing Providers

Price adds one million input and one million output tokens on the cheapest route. Prices and speed change: see the monthly reports and run a small eval before you choose a default.

Test both with your agent

Paste this into Claude Code, Cursor or any coding agent.

Compare DeepSeek V4.1 Flash and Kimi K3.1 Pro in this project through TrustedRouter.

1. Read https://trustedrouter.com/docs/llms.txt
2. Point the OpenAI-compatible client at
   https://api-azure.trustedrouter.com/v1 and read the key from
   TRUSTEDROUTER_API_KEY.
3. Run our eval prompts on deepseek/deepseek-v4.1-flash, then on moonshotai/kimi-k3.1-pro.
4. Show me cost, latency and quality side by side before changing the default.

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api-azure.trustedrouter.com/v1",
    api_key=os.environ["TRUSTEDROUTER_API_KEY"],
)
for model in ("deepseek/deepseek-v4.1-flash", "moonshotai/kimi-k3.1-pro"):
    response = client.chat.completions.create(
        model=model,
        messages=[{"role": "user", "content": "What is the capital of France?"}],
    )
    print(model, response.choices[0].message.content)

for model in deepseek/deepseek-v4.1-flash moonshotai/kimi-k3.1-pro; do
  curl https://api-azure.trustedrouter.com/v1/chat/completions \
    -H "Authorization: Bearer $TRUSTEDROUTER_API_KEY" \
    -H "Content-Type: application/json" \
    -d "{\"model\": \"$model\", \"messages\": [{\"role\": \"user\", \"content\": \"What is the capital of France?\"}]}"
done

Your agent will need an API key.

Questions

Which should I use, DeepSeek: DeepSeek V4.1 Flash or MoonshotAI: Kimi K3.1 Pro?

DeepSeek V4.1 Flash has the lower published input-plus-output rate and more Credits provider routes. Their context windows are the same size. There is not enough recent probe data to compare speed.

Is DeepSeek: DeepSeek V4.1 Flash or MoonshotAI: Kimi K3.1 Pro cheaper?

The current cheapest TrustedRouter route is $0.15825/1M for DeepSeek: DeepSeek V4.1 Flash and $8.862/1M for MoonshotAI: Kimi K3.1 Pro. The comparison uses current catalog prices and updates as provider pricing changes.

Can I test DeepSeek: DeepSeek V4.1 Flash and MoonshotAI: Kimi K3.1 Pro with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between deepseek/deepseek-v4.1-flash and moonshotai/kimi-k3.1-pro. This makes side-by-side evals possible without maintaining two provider integrations.

More comparisons

All comparisons

Try DeepSeek V4.1 Flash and Kimi K3.1 Pro with one key.

TrustedRouter is useful when you know the model you want, but still need provider rollover, budget limits, usage records, and a prompt path you can verify.

No card required. Start with 1 million free tokens.